Detalhe da pesquisa
1.
Quantitative texture-based analysis of pulmonary parenchymal features on chest CT: comparison with densitometric indices and short-term effect of changes in smoking habit.
Eur Respir J
; 60(4)2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35604814
2.
Quantitative CT and machine learning classification of fibrotic interstitial lung diseases.
Eur Radiol
; 32(12): 8152-8161, 2022 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-35678861
3.
Lung vessel volume evaluated with CALIPER software is an independent predictor of mortality in COVID-19 patients: a multicentric retrospective analysis.
Eur Radiol
; 32(6): 4314-4323, 2022 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-35028751
4.
Validation of the BRODERS classifier (Benign versus aggRessive nODule Evaluation using Radiomic Stratification), a novel HRCT-based radiomic classifier for indeterminate pulmonary nodules.
Eur Respir J
; 57(4)2021 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-33303552
5.
Vessel-related structures predict UIP pathology in those with a non-IPF pattern on CT.
Eur Radiol
; 31(10): 7295-7302, 2021 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-33847810
6.
Quantitative CT Analysis of Diffuse Lung Disease.
Radiographics
; 40(1): 28-43, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31782933
7.
Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD.
Respir Res
; 20(1): 101, 2019 May 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-31122243
8.
Correction to: Vessel-related structures predict UIP pathology in those with a non-IPF pattern on CT.
Eur Radiol
; 31(11): 8825, 2021 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-33974150
9.
Noninvasive Computed Tomography-based Risk Stratification of Lung Adenocarcinomas in the National Lung Screening Trial.
Am J Respir Crit Care Med
; 192(6): 737-44, 2015 Sep 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-26052977
10.
Comparison of manual and semiautomated techniques for analyzing gastric volumes with MRI in humans.
Am J Physiol Gastrointest Liver Physiol
; 307(5): G582-7, 2014 Sep 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-25012844
11.
Automated quantification of radiological patterns predicts survival in idiopathic pulmonary fibrosis.
Eur Respir J
; 43(1): 204-12, 2014 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-23563264
12.
Active relearning for robust supervised training of emphysema patterns.
J Digit Imaging
; 27(4): 548-55, 2014 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-24771303
13.
Voxel-Wise Comparison of Co-Registered Quantitative CT and Hyperpolarised Gas Diffusion-Weighted MRI Measurements in IPF.
Diagnostics (Basel)
; 13(23)2023 Nov 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-38066737
14.
Detail-on-demand visualization for lean understanding of lung abnormalities.
Stud Health Technol Inform
; 173: 362-8, 2012.
Artigo
em Inglês
| MEDLINE | ID: mdl-22357019
15.
Do we need to see to believe?-radiomics for lung nodule classification and lung cancer risk stratification.
J Thorac Dis
; 12(6): 3303-3316, 2020 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-32642254
16.
Automated CT Analysis of Major Forms of Interstitial Lung Disease.
J Clin Med
; 9(11)2020 Nov 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-33238466
17.
Computed Tomography-Based Score Indicative of Lung Cancer Aggression (SILA) Predicts the Degree of Histologic Tissue Invasion and Patient Survival in Lung Adenocarcinoma Spectrum.
J Thorac Oncol
; 14(8): 1419-1429, 2019 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-31063863
18.
Comparison of changes in rectal area and volume during MR evacuation proctography in healthy and constipated adults.
Neurogastroenterol Motil
; 31(7): e13608, 2019 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-31025437
19.
Correction: Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.
PLoS One
; 13(10): e0205311, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30278080
20.
Novel high-resolution computed tomography-based radiomic classifier for screen-identified pulmonary nodules in the National Lung Screening Trial.
PLoS One
; 13(5): e0196910, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-29758038